Gas recognition using a neural network approach to plasma optical emission spectroscopy

M Hyland, D Mariotti, W Dubitzky, JAD McLaughlin, PD Maguire

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

A system has been developed which enables the detection and recognition of various gases. Plasma emission spectroscopy has been used to record spectra from volatile species of acetone, vinegar, and coffee beans, along with air and nitrogen spectra. The spectra have been uniquely processed and fed into an artificial neural network program for training and recognition of unknown gases. The system as a whole can be grouped into the emerging and diverse area of artificial nose technology. The system has shown to provide a solution to the recognition of simple gases and odours (ait, nitrogen, acetone) and could also satisfactorily recognise more complex samples (vinegar and coffee beans). Recognition is performed in seconds; this being a positive aspect for many artificial nose applications.
LanguageEnglish
Title of host publicationUnknown Host Publication
EditorsB Bosacchi, DB Fogel, JC Bezdek
Place of Publication1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
PublisherSPIE
Pages246-252
Number of pages5
Volume4120
Publication statusPublished - 2000
EventAPPLICATIONS AND SCIENCE OF NEURAL NETWORKS, FUZZY SYSTEMS, AND EVOLUTIONARY COMPUTATION III - SAN DIEGO
Duration: 1 Jan 2000 → …

Publication series

NamePROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
PublisherSPIE-INT SOC OPTICAL ENGINEERING

Conference

ConferenceAPPLICATIONS AND SCIENCE OF NEURAL NETWORKS, FUZZY SYSTEMS, AND EVOLUTIONARY COMPUTATION III
Period1/01/00 → …

Fingerprint

Optical emission spectroscopy
Coffee
Gases
Acetone
Neural networks
Plasmas
Acetic Acid
Nitrogen
Emission spectroscopy
Odors
Air

Keywords

  • artificial nose
  • gas sensing
  • plasma spectroscopy
  • artificial neural network

Cite this

Hyland, M., Mariotti, D., Dubitzky, W., McLaughlin, JAD., & Maguire, PD. (2000). Gas recognition using a neural network approach to plasma optical emission spectroscopy. In B. Bosacchi, DB. Fogel, & JC. Bezdek (Eds.), Unknown Host Publication (Vol. 4120, pp. 246-252). (PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)). 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA: SPIE.
Hyland, M ; Mariotti, D ; Dubitzky, W ; McLaughlin, JAD ; Maguire, PD. / Gas recognition using a neural network approach to plasma optical emission spectroscopy. Unknown Host Publication. editor / B Bosacchi ; DB Fogel ; JC Bezdek. Vol. 4120 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA : SPIE, 2000. pp. 246-252 (PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)).
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abstract = "A system has been developed which enables the detection and recognition of various gases. Plasma emission spectroscopy has been used to record spectra from volatile species of acetone, vinegar, and coffee beans, along with air and nitrogen spectra. The spectra have been uniquely processed and fed into an artificial neural network program for training and recognition of unknown gases. The system as a whole can be grouped into the emerging and diverse area of artificial nose technology. The system has shown to provide a solution to the recognition of simple gases and odours (ait, nitrogen, acetone) and could also satisfactorily recognise more complex samples (vinegar and coffee beans). Recognition is performed in seconds; this being a positive aspect for many artificial nose applications.",
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Hyland, M, Mariotti, D, Dubitzky, W, McLaughlin, JAD & Maguire, PD 2000, Gas recognition using a neural network approach to plasma optical emission spectroscopy. in B Bosacchi, DB Fogel & JC Bezdek (eds), Unknown Host Publication. vol. 4120, PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE), SPIE, 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA, pp. 246-252, APPLICATIONS AND SCIENCE OF NEURAL NETWORKS, FUZZY SYSTEMS, AND EVOLUTIONARY COMPUTATION III, 1/01/00.

Gas recognition using a neural network approach to plasma optical emission spectroscopy. / Hyland, M; Mariotti, D; Dubitzky, W; McLaughlin, JAD; Maguire, PD.

Unknown Host Publication. ed. / B Bosacchi; DB Fogel; JC Bezdek. Vol. 4120 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA : SPIE, 2000. p. 246-252 (PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - A system has been developed which enables the detection and recognition of various gases. Plasma emission spectroscopy has been used to record spectra from volatile species of acetone, vinegar, and coffee beans, along with air and nitrogen spectra. The spectra have been uniquely processed and fed into an artificial neural network program for training and recognition of unknown gases. The system as a whole can be grouped into the emerging and diverse area of artificial nose technology. The system has shown to provide a solution to the recognition of simple gases and odours (ait, nitrogen, acetone) and could also satisfactorily recognise more complex samples (vinegar and coffee beans). Recognition is performed in seconds; this being a positive aspect for many artificial nose applications.

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Hyland M, Mariotti D, Dubitzky W, McLaughlin JAD, Maguire PD. Gas recognition using a neural network approach to plasma optical emission spectroscopy. In Bosacchi B, Fogel DB, Bezdek JC, editors, Unknown Host Publication. Vol. 4120. 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA: SPIE. 2000. p. 246-252. (PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)).